A Highly Interactive Training Course On

Forensic Accounting and Fraud Control

Uncovering Fraud - The Almost Invisible Enemy

Forensic Accounting and Fraud Control
Course Schedule

CLASSROOM

17-21 Feb 2025
Istanbul
$5,950
26-30 May 2025
Dubai
$5,950
21-25 Jul 2025
Dubai
$5,950
15-19 Sep 2025
Dubai
$5,950
03-07 Nov 2025
London
$5,950
22-26 Dec 2025
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course

Training Overview

Training Overview

This Forensic Accounting and Fraud Control training course is tailored for individuals looking to understand the critical and rapidly expanding area of fraud detection. Fraud poses a significant risk, costing the global economy over $4 trillion last year, according to the Association of Certified Fraud Examiners.

Through case studies and the extensive experience of the trainer, participants will learn to establish effective processes for detecting fraud. The Coventry Academy course will cover essential tools and techniques, including the application of big data and data analytics.

Key features of the training include:

  • Identifying profiles of different fraudsters
  • Understanding the anatomy of fraud and detection methods
  • Recognizing the 50 main fraud indicators
  • Harnessing the power of data analytics
  • Utilizing advanced tools such as Benford’s law and Markov chains

What are the goals?

By the end of this training course, participants will be able to:

  • Think like a fraudster – the only way to detect complex frauds
  • Understand the techniques of data mining as a fraud detection tool
  • Appreciate the key aspects of fraud profiling
  • Use continuous auditing and continuous monitoring to uncover unusual patterns
  • Understand when it seems ‘too good to be true’ it usually will be

Who is this Training Course for?

Professionals who need to build a more in depth understanding of fraud detection techniques

This Coventry Academy training course is suitable to a wide range of professionals but will greatly benefit:

  • Internal auditors in organisations without a dedicated fraud team, as they are having to take a much more significant role in the detection and investigation of fraud
  • Audit Managers and Lead Auditors who need to learn about the most modern approaches to fraud detection
  • Fraud specialists who need more appreciation of how to detect fraud
  • Certified Fraud Examiners
  • Accountants who need an understanding of forensics
  • Managers needing a broader understanding of how to prevent and detect fraud

How will this Training Course be Presented?

This dynamic Coventry Academy training course will utilise a variety of proven learning techniques to ensure maximum understanding, comprehension and retention of the information presented.  This includes various exercises and case studies to provide practical application of the tools and techniques. A series of valuable tools and templates will be provided in electronic format – to take away and use immediately.

The Course Content

Day One: Anatomy of Fraud
  • The power of Fraud Profiling
  • Who are the fraudsters – internal and external
  • ACFE fraud survey results
  • Identity fraud
  • Corruption – the most difficult fraud to detect
  • 15 case studies and the key lessons 
Day Two: The Key Fraud Indicators
  • Why controls may not protect you
  • Putting yourself in the mind of the fraudster
  • The 50 key indicators – and how to use them
  • Developing a forensic audit toolkit
  • The need for a cost-effective balance between prevention and detection
  • Identifying vulnerabilities
Day Three: Data Mining – The Key Forensic Tool
  • Use of Computer assisted audit techniques (CAAT’s)
  • Data mining techniques
  • Fraud risk prioritisation
  • Benford’s law
  • Use on Monte Carlo simulations and Markov chains
  • Forensic auditing of big data
Day Four: Forensic Techniques
  • Automated fraud detection
  • The control weakness and the key fields approaches
  • The association rules in fraud detection
  • Use of fuzzy logic
  • Neural networks
  • Data visualisation and pattern recognition
Day Five: Using the Information Identified
  • What to do when potential fraud is detected
  • The legal aspects of use of forensic data
  • Using external and internal databases
  • Integrating the information/ identifiers in audits – to avoid bringing attention
  • Reporting the results
  • When to inform external bodies